Predictions / Football / Japan. J-League Cup / Thespakusatsu Gunma vs Albirex Niigata

Prediction Audit: Thespakusatsu Gunma vs Albirex Niigata Prediction, Odds & AI Betting Tips

Thespakusatsu Gunma Thespakusatsu Gunma
Sep 02, 2026 - 10:00
1 1.28
2 1.32
xG Accuracy: 77%
Albirex Niigata Albirex Niigata

AI correctly predicted the Albirex Niigata win.

The match finished 1–2, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Albirex Niigata Albirex Niigata ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-2 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Albirex Niigata higher than the statistical model.

Largest probability gap: Albirex Niigata -31.4 pp

Outcome Model Closing Market Difference Signal
Thespakusatsu Gunma 34.2% 14.7% +19.5 pp Model Edge
Draw 29.6% 17.7% +11.9 pp Model Edge
Albirex Niigata 36.1% 67.5% -31.4 pp Market Higher

The closing market estimates Albirex Niigata's win probability at 67.5%, compared with the model's estimate of 36.1%, a difference of 31.4 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.

After full time, the model's directional lean matched the result (Albirex Niigata win 1–2).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 1–2 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Albirex Niigata higher (67.5% vs model 36.1%, 31.4 pp), but the model's lean was validated (Albirex Niigata win 1–2).

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Sep 02, 2026 · 10:00 UTC Forecast generated
    • Model 1X2 · Thespakusatsu Gunma 34.2% · Draw 29.7% · Albirex Niigata 36.1%
    • xG · Thespakusatsu Gunma 1.28 — Albirex Niigata 1.32
  2. Sep 02, 2026 · 09:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Thespakusatsu Gunma 6.42 · Draw 5.33 · Albirex Niigata 1.40
    • Implied 1X2 · Thespakusatsu Gunma 14.7% · Draw 17.7% · Albirex Niigata 67.5%
    • Bookmaker · Pinnacle
  3. Sep 02, 2026 · 10:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Thespakusatsu Gunma 6.42 · Draw 5.33 · Albirex Niigata 1.40
    • Implied 1X2 · Thespakusatsu Gunma 14.7% · Draw 17.7% · Albirex Niigata 67.5%
    • Bookmaker · Pinnacle
  4. Sep 02, 2026 · 10:00 UTC Kickoff
  5. FT Full-time result Albirex Niigata win · 1–2
  6. FT Prediction validated Directional lean matched full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 33/100 · Low
  • Validation: Fail
  • Large market gap (31 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation failed
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 9/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 27, 2026 · 01:44 UTC Snapshot ID: dp-5619612

Closing Odds 1.4
AI Fair Odds —
CLV Pending
Final Result Albirex Niigata win · Thespakusatsu Gunma 1–2 Albirex Niigata
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Review FAQ

How accurate was the prediction?
This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?
xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?
Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?
Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

AI match briefing

AI Match Summary

Model favours Albirex Niigata; market prices Albirex Niigata instead — inputs may be missing or stale.

  • Model: Thespakusatsu Gunma 1.28 xG vs Albirex Niigata 1.32 → Albirex Niigata 36.1%
  • Market: Albirex Niigata ~67.5% implied
  • Validation failed — do not treat 1X2 EV as actionable.

Do not act on 1X2 value until validation passes. Structural leans (O/U, BTTS) need separate odds review.

Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes

Historical Recommendation

Historical Decision: Wait

Outcome: Validated — Pre-match lean validated against the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

October 01, 2026 (UTC)

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